Remote sensing of vegetation phenology has long been used to characterize ecosystem
functions and responses to climate at spatial and temporal scales unfeasible to field surveys …

For quantifying and modelling of landscape patterns, the patch matrix model (PMM) and the
gradient model (GM) are fundamental concepts of landscape ecology. While the PMM model …

Monitoring grassland plant communities is crucial for understanding and managing
biodiversity. Previous studies indicate that map** these natural habitats from single-date …

Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …

Aim The spectral variability hypothesis (SVH) suggests a link between spectral variation and
plant biodiversity. The underlying assumptions are that higher spectral variation in canopy …

Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …

Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …

Accurately map** heterogeneous agricultural landscape is an important prerequisite for
agricultural field management (eg, weed control), plant phenoty** and yield prediction, as …

Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …

Forests cover about 30% of the Earth surface, they are among the most biodiverse terrestrial
ecosystems and represent the bulk of many ecological processes and services. The …